Computer Sciences Commons^™

Plastic Packaging: A Current Perspective On Sustainability, Shristy Bashyal, Bonnie Bachman, Margaret H. Baumann

Business and Information Technology Faculty Research & Creative Works

Packaging producers, machine manufacturers, and/or resin manufacturers are studied to conduct case study research to assess the issues they are facing with regard to “sustainability”. This industry viewpoint is conducted to generate information regarding environmental pressures facing these companies and the resulting strategies employed to be competitive and sustainable. To collect the necessary information about these selected companies and the overall industry point of view they represent, direct interview techniques are used.

Visual Learning Styles Among Digital Natives, Eric Palmer

Department of Computer Graphics Technology Degree Theses

This study explored the concept of digital nativity and its educational implications, including application of the learning styles hypothesis. The concept of digital natives, first put forth by Marc Prensky, introduced the notion that individuals raised in a technological environment have developed in such a way as to utilize information differently than the non-native generations before them. This study examined the possibility that these differences may include an increased efficiency in the utilization of narrative imagery versus textual information. The potential benefit of utilizing narrative imagery as an instructional tool is discussed. An experimental test application was developed for the …

Controlled Linear Perturbation, Elisha P. Sacks, Victor Milenkovic, Min-Ho Kyung

Department of Computer Science Faculty Publications

We present an algorithmic solution to the robustness problem in computational geometry, called controlled linear perturbation, and demonstrate it on Minkowski sums of polyhedra. The robustness problem is how to implement real RAM algorithms accurately and efficiently using computer arithmetic. Approximate computation in floating point arithmetic is efficient but can assign incorrect signs to geometric predicates, which can cause combinatorial errors in the algorithm output. We make approximate computation accurate by performing small input perturbations, which we compute using differential calculus. This strategy supports fast, accurate Minkowski sum computation. The only prior robust implementation uses a less efficient algorithm, requires …

Making Memory: Techne, Technology, And The Refashioning Of Contemporary Memory, Kimberly Lacey

Wayne State University Dissertations

My dissertation answers two questions: Does the tension between interactive technologies and rhetoric re-shape the nature and relevance of the canon of memory? Do interactive technologies affect the ways we remember and persuade? I argue that my interpretation of techne suggests possibilities for the creation and production of new types of memory in combination with digital media. To interrogate this connection, I suggest three interpretations of the Greek concept, techne: as a process that is inherently productive; as a force that renegotiates contemporary sources of social power; and as a skill that balances expert knowledge with instrumentality. I explore …

Multi-Objective Cultural Algorithms, Dapeng Liu

Wayne State University Dissertations

Evolutionary algorithms, including the Cultural Algorithms and other bio-inspired approaches are frequently used to solve problems that are not tractable for traditional approaches. Previously, research in the field of evolutionary optimization has focused on single-objective problems. On the contrary, most real-world problems involve more than one objective where these objectives may conflict with each other.

The newest implementation of the Cultural Algorithms to solve multi-objective optimization is named MOCAT. It is not the first time that the Cultural Algorithms have been used to solve multi-objective problems. Nonetheless, it is the first time that the Cultural Algorithms systematically merge techniques that …

The Effect Of Interactive Technology On Informal Learning And Performance In A Social Setting, Timothy Clay Boileau

Wayne State University Dissertations

This study is based on a qualitative multiple case study research design using a mixed methods approach to provide insight into the effect of interactive technology on informal learning and performance in a social business setting inhabited by knowledge workers. The central phenomenon examined is the variance in behavioral intention towards interactive Web 2.0 technologies in learning and performance-related activities, depending on social and cultural setting, observable in individual and group usage patterns.

The theoretical foundation for this study is drawn primarily from the activity theory model developed by Engeström (1987) and related research enabled by an ongoing review of …

A Scientific Workflow Framework For Scientific Data Querying And Processing, Xubo Fei

Wayne State University Dissertations

We are at the beginning of the new era of ``e-science''. Researchers in many areas of science, especially in astrophysics, physics, climatology and biology, are now facing tremendous increases in data volumes, as well as corresponding data analysis tools. These increased data and tools demand a better framework to manage the new generation scientific research cycle from data capture, data curation to data analysis, data query and data visualization. Scientific workflows are proving to be one of the key technologies for scientists to formalize and structure complex scientific processes to enable and accelerate many significant scientific discoveries. Although several scientific …

Multi-Scale And Multi-Spectral Shape Analysis: From 2d To 3d, Zhaoqiang Lai

Wayne State University Dissertations

Shape analysis is a fundamental aspect of many problems in computer graphics and computer vision, including shape matching, shape registration, object recognition and classification. Since the SIFT achieves excellent matching results in 2D image domain, it inspires us to convert the 3D shape analysis to 2D image analysis using geometric maps. However, the major disadvantage of geometric maps is that it introduces inevitable, large distortions when mapping large, complex and topologically complicated surfaces to a canonical domain. It is demanded for the researchers to construct the scale space directly on the 3D shape.

To address these research issues, in this …

Deformable Meshes For Shape Recovery: Models And Applications, Chang Liu

Wayne State University Dissertations

With the advance of scanning and imaging technology, more and more 3D objects become available. Among them, deformable objects have gained increasing interests. They include medical instances such as organs, a sequence of objects in motion, and objects of similar shapes where a meaningful correspondence can be established between each other. Thus, it requires tools to store, compare, and retrieve them. Many of these operations depend on successful shape recovery. Shape recovery is the task to retrieve an object from the environment where its geometry is hidden or implicitly known. As a simple and versatile tool, mesh is widely used …

Efficient Channel Allocation And Medium Access Organization Algorithms For Vehicular Networking, Zaydoun Yahya Rawashdeh

Wayne State University Dissertations

Due to the limited bandwidth available for Vehicular Ad-hoc Networks (VANETs), organizing the wireless channel access to efficiently use the bandwidth is one of the main challenges in VANET. In this dissertation, we focus on channel allocation and media access organization for Vehicle-to-Roadside Units (V2R) and Vehicle-to-Vehicle (V2V) communications. An efficient channel allocation algorithm for Roadside Unit (RSU) access is proposed. The goal of the algorithm is to increase system throughput by admitting more tasks (vehicles) and at the same time reduce the risk of the admitted tasks. The algorithm admits the new requests only when their requirements can be …

Shape Analysis In Shape Space, Vahid Taimouri

Wayne State University Dissertations

This study aims to classify different deformations based on the shape space concept. A shape space is a quotient space in which each point corresponds to a class of shapes. The shapes of each class are transformed to each other by a transformation group preserving a geometrical property in which we are interested. Therefore, each deformation is a curve on the high dimensional shape space manifold, and one can classify the deformations by comparison of their corresponding deformation curves in shape space. Towards this end, two classification methods are proposed.

In the first method, a quasi conformal shape space is …

A Threat Taxonomy For Mhealth Privacy, David Kotz

Dartmouth Scholarship

Networked mobile devices have great potential to enable individuals (and their physicians) to better monitor their health and to manage medical conditions. In this paper, we examine the privacy-related threats to these so-called \emphmHealth\/ technologies. We develop a taxonomy of the privacy-related threats, and discuss some of the technologies that could support privacy-sensitive mHealth systems. We conclude with a brief summary of research challenges.

Designing A Knowledge Distribution Simulator, Martin Hill, Graham Fletcher

Australian Information Warfare and Security Conference

To make good decisions, we need to be suitably informed. 'Good' and 'Suitably' in this case depend on the informational needs of the decision and the mechanisms of getting the information to the decision maker in time. The trade-offs in qualities, quantities, timeliness, impacts on other activities, and so on are infamously wickedly complex, and usually buried in a clutter of special circumstances, personality characteristics, environments unsuitable for study, and so on. Decision-making systems can be explored using case studies and exercises, but these are limited by the expense and time of using real people. A virtual simulator for large …

A Review Of Situation Identification Techniques In Pervasive Computing, Juan Ye, Simon Dobson, Susan Mckeever

Conference papers

No abstract provided.

An Empirical Study On User Acceptance Of Simulation Techniques For Business Process, Olurotimi Adeboye Ladeinde

Walden Dissertations and Doctoral Studies

Non acceptance of technology may result in serious damages to organizations. For example, non acceptance of simulation technology cost Merrill Lynch Bank over {dollar}50 billion in 2008, while statistics in 2 separate studies showed that non acceptance of technology was responsible for a 57% decrease in performance level for physicians practicing in public tertiary hospitals in Hong Kong, and a 39% decrease in productivity for hotel workers in Seoul, Korea. The problem addressed in this research was non acceptance of simulation technology by project managers. This research investigated the correlation among personal innovativeness, organizational innovativeness, perceived usefulness, perceived ease of …

Assessing Data Quality In A Sensor Network For Environmental Monitoring, Gesuri Ramirez

Open Access Theses & Dissertations

Assessing the quality of sensor data in environmental monitoring applications is important, as erroneous readings produced by malfunctioning sensors, calibration drift, and problematic climatic conditions, such as icing or dust, are common.Traditional data quality checking and correction is a painstaking manual process, so the development of automatic systems for this task is highly desirable.

This study investigates machine learning methods to identify and clean incorrect data from a real-world environmental sensor network, the Jornada Experimental Range, located in Southern New Mexico. We evaluated several learning algorithms and data replacement schemes, and developed a method to identify the problematic sensor. The …

Development Of Load Balancing Algorithm Based On Analysis Of Multi-Core Architecture On Beowulf Cluster, Damian Valles

Open Access Theses & Dissertations

In this work, analysis, and modeling were employed to improve the Linux Scheduler for HPC use. The performance throughput of a single compute-node of the 23 node Beowulf cluster, Virgo 2.0, was analyzed to find bottlenecks and limitations that affected performance in the processing hardware where each compute-node consisted of two quad-core processors with eight gigabytes of memory. The analysis was performed using the High Performance Linpack (HPL) benchmark.

In addition, the processing hardware of the compute-node was modeled using an Instruction per Cycle (IPC) metric that was estimated using linear regression. Modeling data was obtained by using the Tuning …

Development Of An Expert System To Aid In The Selection Of Sustainability Design Engineering Methods, Pedro Renato Acosta

Open Access Theses & Dissertations

The objective of this thesis is to present the development of an expert system to aid designers in the selection of design methods, in particular for sustainability methods. When practicing engineers need help in their design process, they look for design methods and tools; this is a challenge especially for inexperienced engineers in the sustainability area. Engineers, due to time constrains, will only utilize one or few methods during their professional life. The origin of this situation can be traced to engineering education, where it is typical that an instructor prefers one or few methods in particular, and even when …

Development And Testing Of An Unmanned Aircraft System For Environmental Science, Jerald James Brady

Open Access Theses & Dissertations

For some environmental science applications, Unmanned Aircraft Systems (UASs) are increasingly recognized for their capacity to collect remotely sensed data in a safer, more efficient and effective manner than is permitted with manned aircraft and satellite remote sensing platforms. To date, however, technological, human, and other challenges have constrained adoption of UASs in the environmental sciences. This study developed and tested a new UAS for an archetypical environmental science research group (stakeholder) composed of non-UAS experts. Specifically, this thesis: 1) Assessed the research and operational needs of the stakeholder to determine the optimum UAS platform; 2) Developed an Unmanned Aerial …

Intelligent Buildings: An Investigation Into Current And Emerging Security Vulnerabilities In Automated Building Systems Using An Applied Defeat Methodology, David J. Brooks

Australian Security and Intelligence Conference

Intelligent Buildings (IB) have become increasing popular during the past decade, driven through the need to reduce energy, have more reactive and safer buildings, and increase productivity. IB integrate many systems that were in the past isolated from each other, including fire and life safety, HVAC, lighting, security, etc. Facilities contain commercial-in-confidence material and other valued assets; however, IB are integrated through open and common data communication protocols and hardware, leaving facilities exposed to external and internal threats. The study presents an investigation into IB, based on a defeat evaluation methdology. IB vulnerabilities considered two areas, namely physical and software …

Intelligence Analysis And Threat Assessment: Towards A More Comprehensive Model Of Threat, Charles Vandepeer

Australian Security and Intelligence Conference

A central focus of intelligence is the identification, analysis and assessment of threat. However, as acknowledged by intelligence practitioners, threat assessment lags behind the related field of risk assessment. This paper highlights how definitions of threat currently favoured by intelligence agencies are primarily based on threatening entities alone. Consequently, assessments of threat are almost singularly concerned with understanding an identified enemy’s intentions and capabilities. This ‘enemy-centric’ approach to intelligence analysis has recently come in for criticism. In particular, the shortcomings of the current approach become apparent where the focus of intelligence analysis is on threats from difficult-to-identify sub-state or non-state …

An Integrated Computer-Aided Robotic System For Dental Implantation, Xiaoyan Sun, Yongki Yoon, Jiang Li, Frederic D. Mckenzie

Electrical & Computer Engineering Faculty Publications

This paper describes an integrated system for dental implantation including both preoperative planning utilizing computer-aided technology and automatic robot operation during the intra-operative stage. A novel two-step registration procedure was applied for transforming the preoperative plan to the operation of the robot, with the help of a Coordinate Measurement Machine (CMM). Experiments with a patient-specific phantom were carried out to evaluate the registration error for both position and orientation. After adopting several improvements, registration accuracy of the system was significantly improved. Sub-millimeter accuracy with the Target Registration Errors (TREs) of 0.38±0.16 mm (N=5) was achieved. The target orientation errors after …

Interoperability Between Awsome And Other Tools Using Model Driven Architecture, Chitra Srinivasan

Browse all Theses and Dissertations

AFIT Wide Spectrum Object Modeling Environment (AWSOME) is built on an Abstract Syntax Tree (AST) which is the meta-model of AWSOME. Transformations happen internally in AWSOME to transform anything in abstract to concrete. Earlier efforts in AWSOME were focused on developing tools to work on the AST. The goal of this thesis is to make AWSOME interoperable with other available tools. To achieve this goal, the Model Driven Architecture (MDA) concept is used. MDA is a framework aimed at portability, interoperability and reusability among different tools. Among many tools that use MDA context, EclipseUML 2008 and Dresden OCL Toolkit were …

Measuring Uncertainty Of Protein Secondary Structure, Alan Eugene Herner

Browse all Theses and Dissertations

This dissertation develops and demonstrates a method to measure the uncertainty of secondary structure of protein sequences using Shannon's information theory. This method is applied to a newly developed large dataset of chameleon sequences and to several protein hinges culled from the Hinge Atlas. The uncertainty of the central residue in each tripeptide is computed for each amino acid in a sequence using Cuff and Barton's CB513 as the reference set. It is shown that while secondary structure uncertainty is relatively high in chameleon regions [avg = 1.27 bits] it is relatively low in the regions 1-7 residues nearest a …

A User Centered Design And Prototype Of A Mobile Reading Device For The Visually Impaired, Robert B. Keefer

Browse all Theses and Dissertations

While mobile reading devices have been on the market and investigated by researchers in recent years, there is still work required to make these devices highly accessible to the visually impaired. A usability test with one such device revealed gaps in the current state of the art devices. These gaps focus mostly on the user interaction and his or her ability to quickly consume written reading material. In this dissertation a voice user interface (VUI) is presented that improves the ability of a blind user of a mobile reading device to interact with written material. The image processing techniques required …

Parallel Sorting On Multi-Core Architecture, Wei Wang

Browse all Theses and Dissertations

With the limitations given by the power consumption (power wall), memory wall and the instruction level parallelism, the computing industry has turned its direction to multi-core architectures. Nowadays, the multi-core and many-core architectures are becoming the trend of the processor design. But how to exploit these architectures is the primary challenge for the research community. To take advantage of the multi-core architectures, the software design has undergone fundamental changes.

Sorting is a fundamental, important problem in computer science. It is utilized in many applications such as databases and search engines. In this thesis, we will investigate and auto-tune two parallel …

Semi-Supervised Contrafold For Rna Secondary Structure Prediction: A Maximum Entropy Approach, Jianping Feng

Browse all Theses and Dissertations

A novel probabilistic discriminative model based on conditional random fields, CONTRAfold, has recently been proposed for single sequence RNA secondary structure prediction. By incorporating most of the features which closely mirror the local interaction terms of thermodynamics-based models, the CONTRAfold model has outperformed both probabilistic and physics-based techniques, and received the highest single sequence prediction accuracies. CONTRAfold, like most other RNA secondary structure prediction techniques, requires a collection of RNA sequences with known secondary structure to serve as training data for the algorithm. Manual annotation of RNA sequences is both expensive and time-consuming, and there remains a great deal more …

Optimizing Memory Cost With Loop Transformations, Hailong Shi

Browse all Theses and Dissertations

Embedded systems are usually constrained in terms of timing, power, and memory. Many embedded applications, especially in the multi-media and telecom domains, are inherently data dominant. These embedded DSP applications usually exhibit intensive computations in the form of multi-level loops. The performance of these embedded DSP applications mainly depends on the code quality of the loops and the memory hierarchy design. During the design phase of the embedded system, it is important to estimate the overall storage requirement to guide the memory system design and take advantage of the memory system by program transformations and loop transformations.

Loop transformations including …

Towards Optimal Resource Provisioning For Running Mapreduce Programs In Public Clouds, Fengguang Tian

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Running MapReduce programs in the public cloud introduces the important problem: how to optimize resource provisioning to minimize the financial charge for a specific job? In this thesis, We study the whole process of MapReduce processing and build up a cost function that explicitly models the relationship between the amount of input data, the available system resources (Map and Reduce slots), and the complexity of the Reduce function for the target MapReduce job. The model parameters can be learned from test runs with a small number of nodes on a small amount of data. Based on this cost model, we …

3-D Model Characterization And Identification From Intrinsic Landmarks, John L. Camp

Browse all Theses and Dissertations

A method to automatically characterize and identify 3-D range scans based on intrinsic landmarks is presented. Intrinsic landmarks represent locally unique, intrinsic properties of a scanned surface, regardless of scale or rotation. The number, location, and characteristics of landmarks are used to characterize the scanned models. This method contains a selection process to identify stable, intrinsic landmarks for range scans as well as the identification of those scans. The selection process requires no user interaction or surface assumptions. It uses the principal curvatures at the range points to select the landmarks. First, a large number of landmarks are generated by …